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X Demographics
Mendeley readers
Attention Score in Context
| Title |
mRNA translation and protein synthesis: an analysis of different modelling methodologies and a new PBN based approach
|
|---|---|
| Published in |
BMC Systems Biology, February 2014
|
| DOI | 10.1186/1752-0509-8-25 |
| Pubmed ID | |
| Authors |
Yun-Bo Zhao, J Krishnan |
| Abstract |
mRNA translation involves simultaneous movement of multiple ribosomes on the mRNA and is also subject to regulatory mechanisms at different stages. Translation can be described by various codon-based models, including ODE, TASEP, and Petri net models. Although such models have been extensively used, the overlap and differences between these models and the implications of the assumptions of each model has not been systematically elucidated. The selection of the most appropriate modelling framework, and the most appropriate way to develop coarse-grained/fine-grained models in different contexts is not clear. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 79 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Researcher | 10 | 12% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 26 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 21% |
| Agricultural and Biological Sciences | 15 | 19% |
| Medicine and Dentistry | 3 | 4% |
| Physics and Astronomy | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 13 | 16% |
| Unknown | 28 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2023.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from BMC Systems Biology
#651
of 1,132 outputs
Outputs of similar age
#142,722
of 235,878 outputs
Outputs of similar age from BMC Systems Biology
#21
of 37 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 235,878 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.